Overview

Brought to you by YData

Dataset statistics

Number of variables25
Number of observations747102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory138.2 MiB
Average record size in memory194.0 B

Variable types

Numeric21
Categorical4

Alerts

Age is highly overall correlated with Intensity_Index and 1 other fieldsHigh correlation
BMI is highly overall correlated with Height and 2 other fieldsHigh correlation
Body_Temp is highly overall correlated with Body_Temp_Deviation and 17 other fieldsHigh correlation
Body_Temp_Deviation is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Calories is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Calories_Est is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Duration is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Duration_Group is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Duration_Per_Age is highly overall correlated with Body_Temp and 16 other fieldsHigh correlation
Effort is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Effort_Per_Kg is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Heart_Rate is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Heart_Rate_Deviation is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Heart_Rate_Group is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Height is highly overall correlated with BMI and 2 other fieldsHigh correlation
Intensity_Index is highly overall correlated with Age and 17 other fieldsHigh correlation
Is_Fever is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Is_Short_Session is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Age is highly overall correlated with Age and 1 other fieldsHigh correlation
Log_Calories_Est is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Duration is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Effort is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Effort_Per_Kg is highly overall correlated with Body_Temp and 17 other fieldsHigh correlation
Log_Weight is highly overall correlated with BMI and 2 other fieldsHigh correlation
Weight is highly overall correlated with BMI and 2 other fieldsHigh correlation

Reproduction

Analysis started2025-05-20 15:44:26.840759
Analysis finished2025-05-20 15:45:29.710557
Duration1 minute and 2.87 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Age
Real number (ℝ)

High correlation 

Distinct60
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.419407
Minimum20
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:29.737288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile21
Q128
median40
Q352
95-th percentile70
Maximum79
Range59
Interquartile range (IQR)24

Descriptive statistics

Standard deviation15.183397
Coefficient of variation (CV)0.36657688
Kurtosis-0.74740859
Mean41.419407
Median Absolute Deviation (MAD)12
Skewness0.43728747
Sum30944522
Variance230.53555
MonotonicityNot monotonic
2025-05-20T18:45:29.781213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 36132
 
4.8%
32 26623
 
3.6%
20 26128
 
3.5%
40 22168
 
3.0%
45 21436
 
2.9%
22 21204
 
2.8%
26 20730
 
2.8%
25 20539
 
2.7%
54 20352
 
2.7%
42 20075
 
2.7%
Other values (50) 511715
68.5%
ValueCountFrequency (%)
20 26128
3.5%
21 36132
4.8%
22 21204
2.8%
23 14609
2.0%
24 17775
2.4%
25 20539
2.7%
26 20730
2.8%
27 14444
 
1.9%
28 18001
2.4%
29 16746
2.2%
ValueCountFrequency (%)
79 4273
0.6%
78 1607
 
0.2%
77 1706
 
0.2%
76 1078
 
0.1%
75 4035
0.5%
74 3792
0.5%
73 5451
0.7%
72 5003
0.7%
71 6734
0.9%
70 3968
0.5%

Height
Real number (ℝ)

High correlation 

Distinct86
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.69471
Minimum126
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:29.825278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile154
Q1164
median174
Q3185
95-th percentile195
Maximum222
Range96
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.820441
Coefficient of variation (CV)0.073387689
Kurtosis-0.83719199
Mean174.69471
Median Absolute Deviation (MAD)10
Skewness0.05158944
Sum1.3051477 × 108
Variance164.36371
MonotonicityNot monotonic
2025-05-20T18:45:29.867060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187 26136
 
3.5%
161 26065
 
3.5%
169 24682
 
3.3%
179 23564
 
3.2%
174 22187
 
3.0%
182 21395
 
2.9%
181 20352
 
2.7%
184 20214
 
2.7%
164 20087
 
2.7%
171 18985
 
2.5%
Other values (76) 523435
70.1%
ValueCountFrequency (%)
126 1
 
< 0.1%
129 1
 
< 0.1%
135 2
 
< 0.1%
136 2
 
< 0.1%
137 2
 
< 0.1%
138 4
 
< 0.1%
139 5
 
< 0.1%
140 19
 
< 0.1%
141 58
< 0.1%
142 50
< 0.1%
ValueCountFrequency (%)
222 3
 
< 0.1%
218 3
 
< 0.1%
217 6
 
< 0.1%
214 20
 
< 0.1%
213 46
 
< 0.1%
212 98
 
< 0.1%
211 154
< 0.1%
210 122
< 0.1%
209 144
< 0.1%
208 295
< 0.1%

Weight
Real number (ℝ)

High correlation 

Distinct91
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.140585
Minimum36
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:30.482252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile55
Q163
median74
Q387
95-th percentile99
Maximum132
Range96
Interquartile range (IQR)24

Descriptive statistics

Standard deviation13.977033
Coefficient of variation (CV)0.18601177
Kurtosis-0.99396747
Mean75.140585
Median Absolute Deviation (MAD)12
Skewness0.21119052
Sum56137681
Variance195.35745
MonotonicityNot monotonic
2025-05-20T18:45:30.526878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 27643
 
3.7%
64 26549
 
3.6%
63 21392
 
2.9%
60 20523
 
2.7%
62 20240
 
2.7%
81 19897
 
2.7%
88 19471
 
2.6%
91 18825
 
2.5%
59 18653
 
2.5%
68 18178
 
2.4%
Other values (81) 535731
71.7%
ValueCountFrequency (%)
36 1
 
< 0.1%
37 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
41 3
 
< 0.1%
42 3
 
< 0.1%
43 4
 
< 0.1%
44 36
< 0.1%
45 74
< 0.1%
46 57
< 0.1%
ValueCountFrequency (%)
132 2
 
< 0.1%
128 3
 
< 0.1%
126 3
 
< 0.1%
124 1
 
< 0.1%
123 10
 
< 0.1%
122 3
 
< 0.1%
121 46
< 0.1%
120 1
 
< 0.1%
119 17
 
< 0.1%
118 18
 
< 0.1%

Duration
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.433595
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:30.563607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median15
Q323
95-th percentile28
Maximum30
Range29
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.3527506
Coefficient of variation (CV)0.54120575
Kurtosis-1.1955427
Mean15.433595
Median Absolute Deviation (MAD)7
Skewness0.024523107
Sum11530470
Variance69.768442
MonotonicityNot monotonic
2025-05-20T18:45:30.600328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9 28706
 
3.8%
26 28704
 
3.8%
19 28333
 
3.8%
15 27926
 
3.7%
11 27729
 
3.7%
25 27686
 
3.7%
5 27318
 
3.7%
16 27161
 
3.6%
28 27159
 
3.6%
8 26690
 
3.6%
Other values (20) 469690
62.9%
ValueCountFrequency (%)
1 12520
1.7%
2 23480
3.1%
3 26013
3.5%
4 25809
3.5%
5 27318
3.7%
6 26032
3.5%
7 24986
3.3%
8 26690
3.6%
9 28706
3.8%
10 26601
3.6%
ValueCountFrequency (%)
30 12446
1.7%
29 23804
3.2%
28 27159
3.6%
27 24702
3.3%
26 28704
3.8%
25 27686
3.7%
24 24712
3.3%
23 22318
3.0%
22 23167
3.1%
21 26019
3.5%

Heart_Rate
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.495697
Minimum67
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:30.640841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile80
Q188
median95
Q3103
95-th percentile111
Maximum128
Range61
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.4511338
Coefficient of variation (CV)0.098969211
Kurtosis-0.67628535
Mean95.495697
Median Absolute Deviation (MAD)7
Skewness-0.0074440109
Sum71345026
Variance89.32393
MonotonicityNot monotonic
2025-05-20T18:45:30.683079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 34045
 
4.6%
99 29258
 
3.9%
102 28883
 
3.9%
94 27751
 
3.7%
101 27276
 
3.7%
96 26893
 
3.6%
90 26602
 
3.6%
89 25268
 
3.4%
93 25023
 
3.3%
104 24984
 
3.3%
Other values (53) 471119
63.1%
ValueCountFrequency (%)
67 80
 
< 0.1%
68 53
 
< 0.1%
69 254
 
< 0.1%
70 173
 
< 0.1%
71 305
 
< 0.1%
72 657
 
0.1%
73 1044
 
0.1%
74 2028
0.3%
75 2153
0.3%
76 4037
0.5%
ValueCountFrequency (%)
128 28
 
< 0.1%
127 4
 
< 0.1%
126 4
 
< 0.1%
125 56
 
< 0.1%
124 3
 
< 0.1%
123 23
 
< 0.1%
122 78
 
< 0.1%
121 185
< 0.1%
120 207
< 0.1%
119 399
0.1%

Body_Temp
Real number (ℝ)

High correlation 

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.037322
Minimum37.1
Maximum41.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:30.726566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum37.1
5-th percentile38.5
Q139.6
median40.3
Q340.7
95-th percentile40.9
Maximum41.5
Range4.4
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.77923045
Coefficient of variation (CV)0.019462602
Kurtosis0.52403928
Mean40.037322
Median Absolute Deviation (MAD)0.4
Skewness-1.0233571
Sum29911963
Variance0.60720009
MonotonicityNot monotonic
2025-05-20T18:45:30.770644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.7 66909
 
9.0%
40.8 52562
 
7.0%
40.5 49440
 
6.6%
40.3 48817
 
6.5%
40.6 47951
 
6.4%
40.4 41890
 
5.6%
40.9 39801
 
5.3%
40.1 35844
 
4.8%
40.2 32049
 
4.3%
39.7 30671
 
4.1%
Other values (65) 301168
40.3%
ValueCountFrequency (%)
37.1 22
 
< 0.1%
37.2 75
 
< 0.1%
37.3 189
 
< 0.1%
37.4 943
 
0.1%
37.5 972
 
0.1%
37.6 1159
 
0.2%
37.7 4323
0.6%
37.8 3347
0.4%
37.9 3743
0.5%
38 3826
0.5%
ValueCountFrequency (%)
41.5 59
 
< 0.1%
41.4 165
 
< 0.1%
41.3 1424
 
0.2%
41.2 3418
 
0.5%
41.1 7985
 
1.1%
41.03 1
 
< 0.1%
41 15428
 
2.1%
40.9 39801
5.3%
40.897 1
 
< 0.1%
40.8 52562
7.0%

Calories
Real number (ℝ)

High correlation 

Distinct277
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.366319
Minimum1
Maximum314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:30.813454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q134
median77
Q3136
95-th percentile200
Maximum314
Range313
Interquartile range (IQR)102

Descriptive statistics

Standard deviation62.39854
Coefficient of variation (CV)0.70613487
Kurtosis-0.69197429
Mean88.366319
Median Absolute Deviation (MAD)48
Skewness0.53726184
Sum66018654
Variance3893.5778
MonotonicityNot monotonic
2025-05-20T18:45:30.855182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 8247
 
1.1%
13 7238
 
1.0%
11 6948
 
0.9%
12 6920
 
0.9%
17 6892
 
0.9%
8 6873
 
0.9%
20 6861
 
0.9%
9 6628
 
0.9%
4 6287
 
0.8%
28 6162
 
0.8%
Other values (267) 678046
90.8%
ValueCountFrequency (%)
1 637
 
0.1%
2 2414
 
0.3%
3 4723
0.6%
4 6287
0.8%
5 4214
0.6%
6 5253
0.7%
7 8247
1.1%
8 6873
0.9%
9 6628
0.9%
10 6130
0.8%
ValueCountFrequency (%)
314 26
 
< 0.1%
300 32
 
< 0.1%
295 81
< 0.1%
289 32
 
< 0.1%
287 45
< 0.1%
280 40
< 0.1%
276 55
< 0.1%
273 29
 
< 0.1%
272 42
< 0.1%
271 84
< 0.1%

Heart_Rate_Group
Categorical

High correlation 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.4 MiB
normal
258737 
high
247743 
low
240622 

Length

Max length6
Median length4
Mean length4.3705679
Min length3

Characters and Unicode

Total characters3265260
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhigh
2nd rowlow
3rd rowlow
4th rowhigh
5th rowhigh

Common Values

ValueCountFrequency (%)
normal 258737
34.6%
high 247743
33.2%
low 240622
32.2%

Length

2025-05-20T18:45:30.895002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T18:45:30.919882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
normal 258737
34.6%
high 247743
33.2%
low 240622
32.2%

Most occurring characters

ValueCountFrequency (%)
o 499359
15.3%
l 499359
15.3%
h 495486
15.2%
n 258737
7.9%
m 258737
7.9%
r 258737
7.9%
a 258737
7.9%
i 247743
7.6%
g 247743
7.6%
w 240622
7.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3265260
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 499359
15.3%
l 499359
15.3%
h 495486
15.2%
n 258737
7.9%
m 258737
7.9%
r 258737
7.9%
a 258737
7.9%
i 247743
7.6%
g 247743
7.6%
w 240622
7.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3265260
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 499359
15.3%
l 499359
15.3%
h 495486
15.2%
n 258737
7.9%
m 258737
7.9%
r 258737
7.9%
a 258737
7.9%
i 247743
7.6%
g 247743
7.6%
w 240622
7.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3265260
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 499359
15.3%
l 499359
15.3%
h 495486
15.2%
n 258737
7.9%
m 258737
7.9%
r 258737
7.9%
a 258737
7.9%
i 247743
7.6%
g 247743
7.6%
w 240622
7.4%

Duration_Group
Categorical

High correlation 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.4 MiB
long
198685 
short
192848 
medium
186356 
very_long
169213 

Length

Max length9
Median length6
Mean length5.8894676
Min length4

Characters and Unicode

Total characters4400033
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowvery_long
2nd rowshort
3rd rowshort
4th rowvery_long
5th rowvery_long

Common Values

ValueCountFrequency (%)
long 198685
26.6%
short 192848
25.8%
medium 186356
24.9%
very_long 169213
22.6%

Length

2025-05-20T18:45:30.951231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T18:45:30.976393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
long 198685
26.6%
short 192848
25.8%
medium 186356
24.9%
very_long 169213
22.6%

Most occurring characters

ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4400033
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4400033
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4400033
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 560746
12.7%
m 372712
 
8.5%
n 367898
 
8.4%
l 367898
 
8.4%
g 367898
 
8.4%
r 362061
 
8.2%
e 355569
 
8.1%
s 192848
 
4.4%
t 192848
 
4.4%
h 192848
 
4.4%
Other values (6) 1066707
24.2%

Body_Temp_Deviation
Real number (ℝ)

High correlation 

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5373217
Minimum0.6
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.014474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2
Q13.1
median3.8
Q34.2
95-th percentile4.4
Maximum5
Range4.4
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.77923045
Coefficient of variation (CV)0.22028826
Kurtosis0.52403928
Mean3.5373217
Median Absolute Deviation (MAD)0.4
Skewness-1.0233571
Sum2642740.1
Variance0.60720009
MonotonicityNot monotonic
2025-05-20T18:45:31.057395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.2 66909
 
9.0%
4.3 52562
 
7.0%
4 49440
 
6.6%
3.8 48817
 
6.5%
4.1 47951
 
6.4%
3.9 41890
 
5.6%
4.4 39801
 
5.3%
3.6 35844
 
4.8%
3.7 32049
 
4.3%
3.2 30671
 
4.1%
Other values (65) 301168
40.3%
ValueCountFrequency (%)
0.6 22
 
< 0.1%
0.7 75
 
< 0.1%
0.8 189
 
< 0.1%
0.9 943
 
0.1%
1 972
 
0.1%
1.1 1159
 
0.2%
1.2 4323
0.6%
1.3 3347
0.4%
1.4 3743
0.5%
1.5 3826
0.5%
ValueCountFrequency (%)
5 59
 
< 0.1%
4.9 165
 
< 0.1%
4.8 1424
 
0.2%
4.7 3418
 
0.5%
4.6 7985
 
1.1%
4.53 1
 
< 0.1%
4.5 15428
 
2.1%
4.4 39801
5.3%
4.397 1
 
< 0.1%
4.3 52562
7.0%

Is_Fever
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.4 MiB
1
469567 
0
277535 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters747102
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 469567
62.9%
0 277535
37.1%

Length

2025-05-20T18:45:31.097216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T18:45:31.120109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 469567
62.9%
0 277535
37.1%

Most occurring characters

ValueCountFrequency (%)
1 469567
62.9%
0 277535
37.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 469567
62.9%
0 277535
37.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 469567
62.9%
0 277535
37.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 469567
62.9%
0 277535
37.1%

Heart_Rate_Deviation
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.495697
Minimum7
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.150021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile20
Q128
median35
Q343
95-th percentile51
Maximum68
Range61
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.4511338
Coefficient of variation (CV)0.2662614
Kurtosis-0.67628535
Mean35.495697
Median Absolute Deviation (MAD)7
Skewness-0.0074440109
Sum26518906
Variance89.32393
MonotonicityNot monotonic
2025-05-20T18:45:31.192378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 34045
 
4.6%
39 29258
 
3.9%
42 28883
 
3.9%
34 27751
 
3.7%
41 27276
 
3.7%
36 26893
 
3.6%
30 26602
 
3.6%
29 25268
 
3.4%
33 25023
 
3.3%
44 24984
 
3.3%
Other values (53) 471119
63.1%
ValueCountFrequency (%)
7 80
 
< 0.1%
8 53
 
< 0.1%
9 254
 
< 0.1%
10 173
 
< 0.1%
11 305
 
< 0.1%
12 657
 
0.1%
13 1044
 
0.1%
14 2028
0.3%
15 2153
0.3%
16 4037
0.5%
ValueCountFrequency (%)
68 28
 
< 0.1%
67 4
 
< 0.1%
66 4
 
< 0.1%
65 56
 
< 0.1%
64 3
 
< 0.1%
63 23
 
< 0.1%
62 78
 
< 0.1%
61 185
< 0.1%
60 207
< 0.1%
59 399
0.1%

Log_Duration
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6197709
Minimum0.69314718
Maximum3.4339872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.229572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.69314718
5-th percentile1.3862944
Q12.1972246
median2.7725887
Q33.1780538
95-th percentile3.3672958
Maximum3.4339872
Range2.74084
Interquartile range (IQR)0.98082925

Descriptive statistics

Standard deviation0.66605588
Coefficient of variation (CV)0.25424203
Kurtosis0.10634726
Mean2.6197709
Median Absolute Deviation (MAD)0.4462871
Skewness-0.92323356
Sum1957236.1
Variance0.44363043
MonotonicityNot monotonic
2025-05-20T18:45:31.263769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.302585093 28706
 
3.8%
3.295836866 28704
 
3.8%
2.995732274 28333
 
3.8%
2.772588722 27926
 
3.7%
2.48490665 27729
 
3.7%
3.258096538 27686
 
3.7%
1.791759469 27318
 
3.7%
2.833213344 27161
 
3.6%
3.36729583 27159
 
3.6%
2.197224577 26690
 
3.6%
Other values (20) 469690
62.9%
ValueCountFrequency (%)
0.6931471806 12520
1.7%
1.098612289 23480
3.1%
1.386294361 26013
3.5%
1.609437912 25809
3.5%
1.791759469 27318
3.7%
1.945910149 26032
3.5%
2.079441542 24986
3.3%
2.197224577 26690
3.6%
2.302585093 28706
3.8%
2.397895273 26601
3.6%
ValueCountFrequency (%)
3.433987204 12446
1.7%
3.401197382 23804
3.2%
3.36729583 27159
3.6%
3.33220451 24702
3.3%
3.295836866 28704
3.8%
3.258096538 27686
3.7%
3.218875825 24712
3.3%
3.17805383 22318
3.0%
3.135494216 23167
3.1%
3.091042453 26019
3.5%

Is_Short_Session
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.4 MiB
0
525548 
1
221554 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters747102
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Length

2025-05-20T18:45:31.301166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-20T18:45:31.324020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring characters

ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 747102
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 525548
70.3%
1 221554
29.7%

Log_Weight
Real number (ℝ)

High correlation 

Distinct91
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3156129
Minimum3.6109179
Maximum4.8903491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.355253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.6109179
5-th percentile4.0253517
Q14.1588831
median4.3174881
Q34.4773368
95-th percentile4.6051702
Maximum4.8903491
Range1.2794312
Interquartile range (IQR)0.31845373

Descriptive statistics

Standard deviation0.18478361
Coefficient of variation (CV)0.042817467
Kurtosis-1.0399195
Mean4.3156129
Median Absolute Deviation (MAD)0.15860503
Skewness-0.051458823
Sum3224203.1
Variance0.034144984
MonotonicityNot monotonic
2025-05-20T18:45:31.398988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.127134385 27643
 
3.7%
4.17438727 26549
 
3.6%
4.158883083 21392
 
2.9%
4.110873864 20523
 
2.7%
4.143134726 20240
 
2.7%
4.406719247 19897
 
2.7%
4.48863637 19471
 
2.6%
4.521788577 18825
 
2.5%
4.094344562 18653
 
2.5%
4.234106505 18178
 
2.4%
Other values (81) 535731
71.7%
ValueCountFrequency (%)
3.610917913 1
 
< 0.1%
3.63758616 1
 
< 0.1%
3.688879454 1
 
< 0.1%
3.713572067 2
 
< 0.1%
3.737669618 3
 
< 0.1%
3.761200116 3
 
< 0.1%
3.784189634 4
 
< 0.1%
3.80666249 36
< 0.1%
3.828641396 74
< 0.1%
3.850147602 57
< 0.1%
ValueCountFrequency (%)
4.890349128 2
 
< 0.1%
4.859812404 3
 
< 0.1%
4.844187086 3
 
< 0.1%
4.828313737 1
 
< 0.1%
4.820281566 10
 
< 0.1%
4.812184355 3
 
< 0.1%
4.804021045 46
< 0.1%
4.795790546 1
 
< 0.1%
4.787491743 17
 
< 0.1%
4.779123493 18
 
< 0.1%

Log_Age
Real number (ℝ)

High correlation 

Distinct60
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6819791
Minimum3.0445224
Maximum4.3820266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.442708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.0445224
5-th percentile3.0910425
Q13.3672958
median3.7135721
Q33.9702919
95-th percentile4.2626799
Maximum4.3820266
Range1.3375042
Interquartile range (IQR)0.60299608

Descriptive statistics

Standard deviation0.36636403
Coefficient of variation (CV)0.099501931
Kurtosis-1.0618193
Mean3.6819791
Median Absolute Deviation (MAD)0.29376112
Skewness-0.090128944
Sum2750813.9
Variance0.1342226
MonotonicityNot monotonic
2025-05-20T18:45:31.490033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.091042453 36132
 
4.8%
3.496507561 26623
 
3.6%
3.044522438 26128
 
3.5%
3.713572067 22168
 
3.0%
3.828641396 21436
 
2.9%
3.135494216 21204
 
2.8%
3.295836866 20730
 
2.8%
3.258096538 20539
 
2.7%
4.007333185 20352
 
2.7%
3.761200116 20075
 
2.7%
Other values (50) 511715
68.5%
ValueCountFrequency (%)
3.044522438 26128
3.5%
3.091042453 36132
4.8%
3.135494216 21204
2.8%
3.17805383 14609
2.0%
3.218875825 17775
2.4%
3.258096538 20539
2.7%
3.295836866 20730
2.8%
3.33220451 14444
 
1.9%
3.36729583 18001
2.4%
3.401197382 16746
2.2%
ValueCountFrequency (%)
4.382026635 4273
0.6%
4.369447852 1607
 
0.2%
4.356708827 1706
 
0.2%
4.343805422 1078
 
0.1%
4.33073334 4035
0.5%
4.317488114 3792
0.5%
4.304065093 5451
0.7%
4.290459441 5003
0.7%
4.276666119 6734
0.9%
4.262679877 3968
0.5%

BMI
Real number (ℝ)

High correlation 

Distinct2206
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.374222
Minimum12.375937
Maximum46.443986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.535938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12.375937
5-th percentile21.926126
Q123.255019
median24.391059
Q325.484765
95-th percentile26.836008
Maximum46.443986
Range34.068048
Interquartile range (IQR)2.2297459

Descriptive statistics

Standard deviation1.5116561
Coefficient of variation (CV)0.062018638
Kurtosis-0.067110434
Mean24.374222
Median Absolute Deviation (MAD)1.1016634
Skewness-0.0028575475
Sum18210030
Variance2.2851041
MonotonicityNot monotonic
2025-05-20T18:45:31.578575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.53304271 4846
 
0.6%
24.69040546 4055
 
0.5%
23.14725512 3416
 
0.5%
22.67995241 3403
 
0.5%
25.16514627 3205
 
0.4%
26.02304899 3121
 
0.4%
24.15881797 3051
 
0.4%
23.33768443 3034
 
0.4%
22.40817899 3013
 
0.4%
24.44180209 2964
 
0.4%
Other values (2196) 712994
95.4%
ValueCountFrequency (%)
12.3759373 1
< 0.1%
12.58257314 1
< 0.1%
13.5496255 1
< 0.1%
13.72644342 2
< 0.1%
14.04450548 1
< 0.1%
14.1723356 1
< 0.1%
14.20339258 1
< 0.1%
14.30855989 1
< 0.1%
15.31718352 1
< 0.1%
15.80588662 1
< 0.1%
ValueCountFrequency (%)
46.44398574 1
< 0.1%
44.09832989 1
< 0.1%
41.78668506 1
< 0.1%
40.97529312 1
< 0.1%
40.16390117 1
< 0.1%
39.65710623 1
< 0.1%
39.32823129 1
< 0.1%
39.15984336 1
< 0.1%
38.671875 1
< 0.1%
38.54111729 1
< 0.1%

Calories_Est
Real number (ℝ)

High correlation 

Distinct21523
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.572412
Minimum0.335
Maximum43.923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.622483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.335
5-th percentile1.5252
Q15.336
median10.602
Q316.8096
95-th percentile25.3552
Maximum43.923
Range43.588
Interquartile range (IQR)11.4736

Descriptive statistics

Standard deviation7.4490491
Coefficient of variation (CV)0.6436903
Kurtosis-0.49743968
Mean11.572412
Median Absolute Deviation (MAD)5.6544
Skewness0.5319443
Sum8645771.9
Variance55.488332
MonotonicityNot monotonic
2025-05-20T18:45:31.665799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.336 486
 
0.1%
9.504 434
 
0.1%
6.552 433
 
0.1%
15.7248 429
 
0.1%
7.128 422
 
0.1%
7.2072 417
 
0.1%
12.672 407
 
0.1%
13.464 398
 
0.1%
8.736 396
 
0.1%
13.104 394
 
0.1%
Other values (21513) 742886
99.4%
ValueCountFrequency (%)
0.335 1
< 0.1%
0.345 2
< 0.1%
0.3478 1
< 0.1%
0.3484 1
< 0.1%
0.35 1
< 0.1%
0.3551 1
< 0.1%
0.357 2
< 0.1%
0.3577 1
< 0.1%
0.3588 2
< 0.1%
0.3618 1
< 0.1%
ValueCountFrequency (%)
43.923 1
< 0.1%
43.197 1
< 0.1%
42.3612 1
< 0.1%
41.7339 1
< 0.1%
41.4062 1
< 0.1%
40.716 2
< 0.1%
40.698 1
< 0.1%
40.4608 1
< 0.1%
40.3767 2
< 0.1%
40.293 1
< 0.1%

Log_Calories_Est
Real number (ℝ)

High correlation 

Distinct21523
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.313711
Minimum0.28893129
Maximum3.8049499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.707475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.28893129
5-th percentile0.92632027
Q11.8462477
median2.4511775
Q32.8797376
95-th percentile3.2716656
Maximum3.8049499
Range3.5160186
Interquartile range (IQR)1.03349

Descriptive statistics

Standard deviation0.71692098
Coefficient of variation (CV)0.30985762
Kurtosis-0.38160497
Mean2.313711
Median Absolute Deviation (MAD)0.4907478
Skewness-0.62326453
Sum1728578.1
Variance0.51397569
MonotonicityNot monotonic
2025-05-20T18:45:31.749804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.992793735 486
 
0.1%
2.351756137 434
 
0.1%
2.021812429 433
 
0.1%
2.816892648 429
 
0.1%
2.095314891 422
 
0.1%
2.105011818 417
 
0.1%
2.615349946 407
 
0.1%
2.671662804 398
 
0.1%
2.275830356 396
 
0.1%
2.646458445 394
 
0.1%
Other values (21513) 742886
99.4%
ValueCountFrequency (%)
0.2889312919 1
< 0.1%
0.2963940131 2
< 0.1%
0.2984736335 1
< 0.1%
0.2989187044 1
< 0.1%
0.3001045925 1
< 0.1%
0.3038752523 1
< 0.1%
0.3052763809 2
< 0.1%
0.3057920916 1
< 0.1%
0.3066019573 2
< 0.1%
0.3088073541 1
< 0.1%
ValueCountFrequency (%)
3.804949913 1
< 0.1%
3.788656913 1
< 0.1%
3.769565032 1
< 0.1%
3.754992516 1
< 0.1%
3.747294578 1
< 0.1%
3.730884748 2
< 0.1%
3.730453166 1
< 0.1%
3.724748403 1
< 0.1%
3.72271792 2
< 0.1%
3.720692994 1
< 0.1%

Effort
Real number (ℝ)

High correlation 

Distinct1047
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1542.9263
Minimum67
Maximum3840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.794324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile228
Q1728
median1455
Q32325
95-th percentile3103
Maximum3840
Range3773
Interquartile range (IQR)1597

Descriptive statistics

Standard deviation932.39299
Coefficient of variation (CV)0.6043017
Kurtosis-1.1360849
Mean1542.9263
Median Absolute Deviation (MAD)789
Skewness0.21951268
Sum1.1527233 × 109
Variance869356.7
MonotonicityNot monotonic
2025-05-20T18:45:31.839913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2808 4476
 
0.6%
1440 3842
 
0.5%
3024 3726
 
0.5%
1632 3711
 
0.5%
990 3457
 
0.5%
819 3228
 
0.4%
2600 3201
 
0.4%
2496 3175
 
0.4%
1900 3158
 
0.4%
1274 3107
 
0.4%
Other values (1037) 712021
95.3%
ValueCountFrequency (%)
67 43
 
< 0.1%
68 28
 
< 0.1%
69 131
 
< 0.1%
70 85
 
< 0.1%
71 59
 
< 0.1%
72 171
 
< 0.1%
73 233
 
< 0.1%
74 382
 
0.1%
75 279
 
< 0.1%
76 986
0.1%
ValueCountFrequency (%)
3840 12
< 0.1%
3780 2
 
< 0.1%
3750 7
 
< 0.1%
3712 12
< 0.1%
3690 3
 
< 0.1%
3683 2
 
< 0.1%
3660 9
 
< 0.1%
3654 1
 
< 0.1%
3630 26
< 0.1%
3625 21
< 0.1%

Log_Effort
Real number (ℝ)

High correlation 

Distinct1047
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0699786
Minimum4.2195077
Maximum8.253488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.884854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.2195077
5-th percentile5.433722
Q16.5916737
median7.2834482
Q37.7519053
95-th percentile8.0404469
Maximum8.253488
Range4.0339803
Interquartile range (IQR)1.1602316

Descriptive statistics

Standard deviation0.84994711
Coefficient of variation (CV)0.12021919
Kurtosis0.52902331
Mean7.0699786
Median Absolute Deviation (MAD)0.54174753
Skewness-1.0245358
Sum5281995.1
Variance0.72241009
MonotonicityNot monotonic
2025-05-20T18:45:31.927512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.940583827 4476
 
0.6%
7.273092596 3842
 
0.5%
8.01466637 3726
 
0.5%
7.398174093 3711
 
0.5%
6.898714534 3457
 
0.5%
6.70930434 3228
 
0.4%
7.863651265 3201
 
0.4%
7.82284529 3175
 
0.4%
7.550135342 3158
 
0.4%
7.150701458 3107
 
0.4%
Other values (1037) 712021
95.3%
ValueCountFrequency (%)
4.219507705 43
 
< 0.1%
4.234106505 28
 
< 0.1%
4.248495242 131
 
< 0.1%
4.262679877 85
 
< 0.1%
4.276666119 59
 
< 0.1%
4.290459441 171
 
< 0.1%
4.304065093 233
 
< 0.1%
4.317488114 382
 
0.1%
4.33073334 279
 
< 0.1%
4.343805422 986
0.1%
ValueCountFrequency (%)
8.253488028 12
< 0.1%
8.237743804 2
 
< 0.1%
8.22977775 7
 
< 0.1%
8.219595454 12
< 0.1%
8.213652703 3
 
< 0.1%
8.211754397 2
 
< 0.1%
8.205491613 9
 
< 0.1%
8.203851372 1
 
< 0.1%
8.197263371 26
< 0.1%
8.195885391 21
< 0.1%

Intensity_Index
Real number (ℝ)

High correlation 

Distinct3033
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53892267
Minimum0.335
Maximum0.90780142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:31.970263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.335
5-th percentile0.43005181
Q10.48730964
median0.53266332
Q30.58285714
95-th percentile0.67114094
Maximum0.90780142
Range0.57280142
Interquartile range (IQR)0.095547498

Descriptive statistics

Standard deviation0.073009348
Coefficient of variation (CV)0.13547277
Kurtosis0.25717124
Mean0.53892267
Median Absolute Deviation (MAD)0.047663317
Skewness0.51505609
Sum402630.2
Variance0.0053303649
MonotonicityNot monotonic
2025-05-20T18:45:32.012561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 11709
 
1.6%
0.6 3248
 
0.4%
0.5714285714 2524
 
0.3%
0.5384615385 2066
 
0.3%
0.5555555556 1998
 
0.3%
0.5454545455 1947
 
0.3%
0.4572864322 1921
 
0.3%
0.5333333333 1909
 
0.3%
0.6666666667 1876
 
0.3%
0.5833333333 1870
 
0.3%
Other values (3023) 716034
95.8%
ValueCountFrequency (%)
0.335 3
 
< 0.1%
0.3366834171 5
< 0.1%
0.3383838384 4
 
< 0.1%
0.34 3
 
< 0.1%
0.3401015228 2
 
< 0.1%
0.3417085427 2
 
< 0.1%
0.3418367347 5
< 0.1%
0.3434343434 3
 
< 0.1%
0.3435897436 3
 
< 0.1%
0.345 10
< 0.1%
ValueCountFrequency (%)
0.9078014184 1
 
< 0.1%
0.8951048951 2
 
< 0.1%
0.8865248227 2
 
< 0.1%
0.8802816901 1
 
< 0.1%
0.8767123288 1
 
< 0.1%
0.8741258741 1
 
< 0.1%
0.8723404255 2
 
< 0.1%
0.8680555556 1
 
< 0.1%
0.8648648649 1
 
< 0.1%
0.8620689655 6
< 0.1%

Effort_Per_Kg
Real number (ℝ)

High correlation 

Distinct31140
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.309
Minimum0.64761905
Maximum83.571429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:32.055573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.64761905
5-th percentile2.7636364
Q19.6808511
median19.5
Q331.317073
95-th percentile46.366667
Maximum83.571429
Range82.92381
Interquartile range (IQR)21.636222

Descriptive statistics

Standard deviation13.70635
Coefficient of variation (CV)0.64321884
Kurtosis-0.5582005
Mean21.309
Median Absolute Deviation (MAD)10.668831
Skewness0.49741758
Sum15919996
Variance187.86403
MonotonicityNot monotonic
2025-05-20T18:45:32.099250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 1038
 
0.1%
12 1003
 
0.1%
24 985
 
0.1%
18 969
 
0.1%
10 937
 
0.1%
8 928
 
0.1%
9 926
 
0.1%
7 875
 
0.1%
11 848
 
0.1%
6 810
 
0.1%
Other values (31130) 737783
98.8%
ValueCountFrequency (%)
0.6476190476 1
 
< 0.1%
0.6486486486 1
 
< 0.1%
0.6696428571 1
 
< 0.1%
0.6727272727 1
 
< 0.1%
0.6764705882 3
< 0.1%
0.6831683168 2
< 0.1%
0.6846846847 1
 
< 0.1%
0.6857142857 1
 
< 0.1%
0.6862745098 2
< 0.1%
0.6886792453 1
 
< 0.1%
ValueCountFrequency (%)
83.57142857 1
 
< 0.1%
78 1
 
< 0.1%
75.4 1
 
< 0.1%
74.69387755 1
 
< 0.1%
74.66666667 3
< 0.1%
74 1
 
< 0.1%
73.69565217 1
 
< 0.1%
73.46666667 1
 
< 0.1%
73.04347826 1
 
< 0.1%
72.54545455 1
 
< 0.1%

Log_Effort_Per_Kg
Real number (ℝ)

High correlation 

Distinct31140
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8574717
Minimum0.49933124
Maximum4.4375965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:32.142072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.49933124
5-th percentile1.3253856
Q12.3684525
median3.0204249
Q33.4755957
95-th percentile3.8579187
Maximum4.4375965
Range3.9382652
Interquartile range (IQR)1.1071432

Descriptive statistics

Standard deviation0.77962875
Coefficient of variation (CV)0.27283866
Kurtosis-0.14372621
Mean2.8574717
Median Absolute Deviation (MAD)0.5182686
Skewness-0.7447187
Sum2134822.8
Variance0.60782098
MonotonicityNot monotonic
2025-05-20T18:45:32.186041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.772588722 1038
 
0.1%
2.564949357 1003
 
0.1%
3.218875825 985
 
0.1%
2.944438979 969
 
0.1%
2.397895273 937
 
0.1%
2.197224577 928
 
0.1%
2.302585093 926
 
0.1%
2.079441542 875
 
0.1%
2.48490665 848
 
0.1%
1.945910149 810
 
0.1%
Other values (31130) 737783
98.8%
ValueCountFrequency (%)
0.4993312443 1
 
< 0.1%
0.4999559515 1
 
< 0.1%
0.5126097456 1
 
< 0.1%
0.5144553918 1
 
< 0.1%
0.5166907432 3
< 0.1%
0.5206779202 2
< 0.1%
0.5215784155 1
 
< 0.1%
0.5221893824 1
 
< 0.1%
0.5225216635 2
< 0.1%
0.5239467117 1
 
< 0.1%
ValueCountFrequency (%)
4.437596486 1
 
< 0.1%
4.369447852 1
 
< 0.1%
4.335982696 1
 
< 0.1%
4.326697279 1
 
< 0.1%
4.326337729 3
< 0.1%
4.317488114 1
 
< 0.1%
4.313421887 1
 
< 0.1%
4.310351598 1
 
< 0.1%
4.304652465 1
 
< 0.1%
4.297903644 1
 
< 0.1%

Duration_Per_Age
Real number (ℝ)

High correlation 

Distinct1236
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4276969
Minimum0.012658228
Maximum1.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 MiB
2025-05-20T18:45:32.228991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.012658228
5-th percentile0.0625
Q10.19444444
median0.375
Q30.59090909
95-th percentile1.037037
Maximum1.5
Range1.4873418
Interquartile range (IQR)0.39646465

Descriptive statistics

Standard deviation0.29563256
Coefficient of variation (CV)0.69121979
Kurtosis0.52394544
Mean0.4276969
Median Absolute Deviation (MAD)0.19190141
Skewness0.9539109
Sum319533.21
Variance0.08739861
MonotonicityNot monotonic
2025-05-20T18:45:32.274417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 11397
 
1.5%
0.3333333333 9372
 
1.3%
1 8072
 
1.1%
0.25 7959
 
1.1%
0.4 6120
 
0.8%
0.2 6049
 
0.8%
0.1666666667 5330
 
0.7%
0.6666666667 5190
 
0.7%
0.1428571429 4626
 
0.6%
0.4285714286 4361
 
0.6%
Other values (1226) 678626
90.8%
ValueCountFrequency (%)
0.01265822785 13
 
< 0.1%
0.01282051282 33
 
< 0.1%
0.01298701299 13
 
< 0.1%
0.01315789474 2
 
< 0.1%
0.01333333333 64
< 0.1%
0.01351351351 16
 
< 0.1%
0.01369863014 82
< 0.1%
0.01388888889 84
< 0.1%
0.01408450704 40
< 0.1%
0.01428571429 53
< 0.1%
ValueCountFrequency (%)
1.5 290
 
< 0.1%
1.45 517
0.1%
1.428571429 588
0.1%
1.4 626
0.1%
1.380952381 1102
0.1%
1.363636364 451
 
0.1%
1.35 740
0.1%
1.333333333 1241
0.2%
1.318181818 943
0.1%
1.304347826 204
 
< 0.1%

Interactions

2025-05-20T18:45:26.968966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:56.491009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:59.195720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.540104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:02.010016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.348794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.967347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:06.294623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.894964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:09.219427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.602265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:12.300379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.646106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:15.036971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.783631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:18.132131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.530351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.954751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.803417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:24.159010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.536806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:27.036191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:56.553810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:59.261180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.604813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:02.076617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.412766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:05.033504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:06.357737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.956746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:09.286740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.666336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:12.363910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.709699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:15.101878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.847893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:18.198893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.596972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:21.019978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.867626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:24.223436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.604689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:27.100026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:56.614806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:59.322128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.666975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:02.138601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.475504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:05.094496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:06.420527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:08.015617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:09.349433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.729046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:12.425452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.773036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:15.168726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.910428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:18.265380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.669154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:21.084826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.929464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:24.284711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.672393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:27.164685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:56.675227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:59.385064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.726437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:02.199241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.538934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-20T18:45:23.574527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:24.940585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.352801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:27.839063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:57.299218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.016144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.494484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:02.830762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.409634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:05.776181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.368648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:08.697737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.049117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:11.745864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.123491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.475442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.248989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:17.620088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.001007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.420175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.274824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:23.637977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.006187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.420463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:27.902614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:57.359623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.077583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.555427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:02.892422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.473426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:05.836373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.431451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:08.758491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.114920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:11.809153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.186288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.540555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.312719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:17.680599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.061072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.485355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.341385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:23.701782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.071600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.487062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:27.968352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:57.422083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.142816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.620005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:02.958284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.539026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:05.900956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.498091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:08.822460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.184461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:11.879584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.252359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.610090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.376251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:17.744957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.129541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.549186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.407687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:23.767860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.145160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.554785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:28.036363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:57.484364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.208363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.686027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.023777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.612516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:05.974326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.565576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:08.886403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.255177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:11.954350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.318691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.688853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.442318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:17.811103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.200912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.617240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.473310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:23.834907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.215424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.625211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:28.102918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:57.545932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.274829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.749736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.089248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.689078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:06.040222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.632512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:08.952506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.326638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:12.032082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.384544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.765209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.507367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:17.875710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.267821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.685788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.538844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:23.897384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.280835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.695976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:28.167799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:57.608282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.338953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.812200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.152845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.755813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:06.102952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.700371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:09.017071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.398415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:12.099833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.449158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.834819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.571528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:17.939233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.333464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.752117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.605530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:23.963020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.341438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.767326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:28.230858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:59.058100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.401896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.875694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.215547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.823258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:06.165275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.762740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:09.084851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.464167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:12.163748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.512697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.901948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.637987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:18.000887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.398495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.819034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.669115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:24.028161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.403139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.832302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:28.297986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:44:59.127948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:00.469184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:01.945911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:03.284446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:04.897915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:06.231712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:07.831219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:09.153387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:10.534202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:12.233407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:13.580206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:14.971961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:16.710455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:18.067478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:19.465311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:20.888076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:22.738658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:24.096367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:25.472379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-20T18:45:26.901735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-20T18:45:32.321319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AgeBMIBody_TempBody_Temp_DeviationCaloriesCalories_EstDurationDuration_GroupDuration_Per_AgeEffortEffort_Per_KgHeart_RateHeart_Rate_DeviationHeart_Rate_GroupHeightIntensity_IndexIs_FeverIs_Short_SessionLog_AgeLog_Calories_EstLog_DurationLog_EffortLog_Effort_Per_KgLog_WeightWeight
Age1.0000.1910.0250.0250.1180.0260.0110.045-0.4770.012-0.0070.0080.0080.0450.0160.6360.0360.0311.0000.0260.0110.012-0.0070.0760.076
BMI0.1911.0000.0100.0100.0260.1920.0050.022-0.0890.007-0.1820.0180.0180.0130.5550.1290.0040.0110.1910.1920.0050.007-0.1820.7520.752
Body_Temp0.0250.0101.0001.0000.9340.9130.9450.7100.7990.9430.9100.8410.8410.621-0.0270.6420.9140.8950.0250.9130.9450.9430.910-0.017-0.017
Body_Temp_Deviation0.0250.0101.0001.0000.9340.9130.9450.7100.7990.9430.9100.8410.8410.621-0.0270.6420.9140.8950.0250.9130.9450.9430.910-0.017-0.017
Calories0.1180.0260.9340.9341.0000.9540.9810.8270.7730.9880.9470.9270.9270.745-0.0280.7670.8670.8830.1180.9540.9810.9880.947-0.013-0.013
Calories_Est0.0260.1920.9130.9130.9541.0000.9590.7500.8080.9620.8550.8800.8800.6690.2090.6700.8470.8700.0261.0000.9590.9620.8550.2270.227
Duration0.0110.0050.9450.9450.9810.9591.0000.9360.8440.9970.9590.8850.8850.690-0.0300.6650.9071.0000.0110.9591.0000.9970.959-0.022-0.022
Duration_Group0.0450.0220.7100.7100.8270.7500.9361.0000.5800.9060.7530.6150.6150.6660.0320.4070.8500.9190.0450.7550.8910.8860.7480.0320.038
Duration_Per_Age-0.477-0.0890.7990.7990.7730.8080.8440.5801.0000.8420.8260.7460.7460.538-0.0330.2560.7580.798-0.4770.8080.8440.8420.826-0.055-0.055
Effort0.0120.0070.9430.9430.9880.9620.9970.9060.8421.0000.9610.9150.9150.731-0.0290.6870.8980.9710.0120.9620.9971.0000.961-0.020-0.020
Effort_Per_Kg-0.007-0.1820.9100.9100.9470.8550.9590.7530.8260.9611.0000.8750.8750.664-0.2690.6480.8430.878-0.0070.8550.9590.9611.000-0.270-0.270
Heart_Rate0.0080.0180.8410.8410.9270.8800.8850.6150.7460.9150.8751.0001.0000.862-0.0160.7500.7490.7470.0080.8800.8850.9150.875-0.006-0.006
Heart_Rate_Deviation0.0080.0180.8410.8410.9270.8800.8850.6150.7460.9150.8751.0001.0000.862-0.0160.7500.7490.7470.0080.8800.8850.9150.875-0.006-0.006
Heart_Rate_Group0.0450.0130.6210.6210.7450.6690.6900.6660.5380.7310.6640.8620.8621.0000.0260.5370.7160.7060.0390.6740.6820.7120.6660.0210.030
Height0.0160.555-0.027-0.027-0.0280.209-0.0300.032-0.033-0.029-0.269-0.016-0.0160.0261.000-0.0100.0350.0390.0160.209-0.030-0.029-0.2690.9620.962
Intensity_Index0.6360.1290.6420.6420.7670.6700.6650.4070.2560.6870.6480.7500.7500.537-0.0101.0000.5530.5530.6360.6700.6650.6870.6480.0350.035
Is_Fever0.0360.0040.9140.9140.8670.8470.9070.8500.7580.8980.8430.7490.7490.7160.0350.5531.0000.8290.0400.8640.9070.8970.8610.0240.035
Is_Short_Session0.0310.0110.8950.8950.8830.8701.0000.9190.7980.9710.8780.7470.7470.7060.0390.5530.8291.0000.0360.8991.0000.9340.9020.0260.038
Log_Age1.0000.1910.0250.0250.1180.0260.0110.045-0.4770.012-0.0070.0080.0080.0390.0160.6360.0400.0361.0000.0260.0110.012-0.0070.0760.076
Log_Calories_Est0.0260.1920.9130.9130.9541.0000.9590.7550.8080.9620.8550.8800.8800.6740.2090.6700.8640.8990.0261.0000.9590.9620.8550.2270.227
Log_Duration0.0110.0050.9450.9450.9810.9591.0000.8910.8440.9970.9590.8850.8850.682-0.0300.6650.9071.0000.0110.9591.0000.9970.959-0.022-0.022
Log_Effort0.0120.0070.9430.9430.9880.9620.9970.8860.8421.0000.9610.9150.9150.712-0.0290.6870.8970.9340.0120.9620.9971.0000.961-0.020-0.020
Log_Effort_Per_Kg-0.007-0.1820.9100.9100.9470.8550.9590.7480.8260.9611.0000.8750.8750.666-0.2690.6480.8610.902-0.0070.8550.9590.9611.000-0.270-0.270
Log_Weight0.0760.752-0.017-0.017-0.0130.227-0.0220.032-0.055-0.020-0.270-0.006-0.0060.0210.9620.0350.0240.0260.0760.227-0.022-0.020-0.2701.0001.000
Weight0.0760.752-0.017-0.017-0.0130.227-0.0220.038-0.055-0.020-0.270-0.006-0.0060.0300.9620.0350.0350.0380.0760.227-0.022-0.020-0.2701.0001.000

Missing values

2025-05-20T18:45:28.376666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-20T18:45:28.840710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

AgeHeightWeightDurationHeart_RateBody_TempCaloriesHeart_Rate_GroupDuration_GroupBody_Temp_DeviationIs_FeverHeart_Rate_DeviationLog_DurationIs_Short_SessionLog_WeightLog_AgeBMICalories_EstLog_Calories_EstEffortLog_EffortIntensity_IndexEffort_Per_KgLog_Effort_Per_KgDuration_Per_Age
id
036189.082.026.0101.041.0150.0highvery_long4.5141.03.29583704.4188413.61091822.95568421.53323.1149902626.07.8735980.54891332.0243903.4972460.722222
164163.060.08.085.039.734.0lowshort3.2025.02.19722514.1108744.17438722.5827094.08001.625311680.06.5235620.54487211.3333332.5123060.125000
251161.064.07.084.039.829.0lowshort3.3024.02.07944214.1743873.95124424.6904053.76321.560920588.06.3784260.4970419.1875002.3211610.137255
320192.090.025.0105.040.7140.0highvery_long4.2145.03.25809704.5108603.04452224.41406223.62503.2037622625.07.8732170.52500029.1666673.4067381.250000
438166.061.025.0102.040.6146.0highvery_long4.1142.03.25809704.1271343.66356222.13674015.55502.8066882550.07.8442410.56044041.8032793.7566150.657895
526156.056.019.0100.040.5103.0normallong4.0140.02.99573204.0430513.29583723.01117710.64002.4544471900.07.5501350.51546433.9285713.5533050.730769
621172.073.03.081.038.39.0lowshort1.8021.01.38629414.3040653.09104224.6755001.77391.020254243.05.4971680.4070353.3287671.4652830.142857
746188.094.023.0100.040.8145.0normallong4.3140.03.17805404.5538773.85014826.59574521.62003.1188342300.07.7410990.57471324.4680853.2374260.500000
833166.063.025.0107.040.5161.0highvery_long4.0147.03.25809704.1588833.52636122.86253416.85252.8821442675.07.8920780.57219342.4603173.7718480.757576
965185.088.023.0104.041.0185.0highlong4.5144.03.17805404.4886364.18965525.71219921.04963.0932942392.07.7803030.67096827.1818183.3386770.353846
AgeHeightWeightDurationHeart_RateBody_TempCaloriesHeart_Rate_GroupDuration_GroupBody_Temp_DeviationIs_FeverHeart_Rate_DeviationLog_DurationIs_Short_SessionLog_WeightLog_AgeBMICalories_EstLog_Calories_EstEffortLog_EffortIntensity_IndexEffort_Per_KgLog_Effort_Per_KgDuration_Per_Age
id
74999058175.073.05.087.039.423.0lowshort2.9027.01.79175914.3040654.07753723.8367353.17551.429234435.06.0776420.5370375.9589041.9400220.086207
74999142149.049.026.0108.040.7178.0highvery_long4.2148.03.29583703.9120233.76120022.07107813.75922.6918672808.07.9405840.60674257.3061224.0657070.619048
74999229199.096.028.0108.041.0182.0highvery_long4.5148.03.36729604.5747113.40119724.24181229.03043.4022103024.08.0146660.56544531.5000003.4812400.965517
74999325179.075.013.0101.040.166.0highmedium3.6141.02.63905704.3307333.25809723.4075099.84752.3839351313.07.1808310.51794917.5066672.9181310.520000
74999421157.058.011.086.039.542.0lowmedium3.0026.02.48490704.0775373.09104223.5303665.48681.869769946.06.8532990.43216116.3103452.8513040.523810
74999528193.097.030.0114.040.9230.0highvery_long4.4154.03.43398704.5849673.36729626.04096833.17403.5314653420.08.1376880.59375035.2577323.5906531.071429
74999664165.063.018.092.040.596.0normallong4.0132.02.94443904.1588834.17438723.14049610.43282.4364861656.07.4127640.58974426.2857143.3063630.281250
74999760162.067.029.0113.040.9221.0highvery_long4.4153.03.40119704.2195084.11087425.52964521.95593.1335753277.08.0949890.70625048.9104483.9102300.483333
74999845182.091.017.0102.040.3109.0highlong3.8142.02.89037204.5217893.82864127.47252715.77942.8201521734.07.4587630.58285719.0549452.9984760.377778
74999939171.065.019.097.040.6103.0normallong4.1137.02.99573204.1896553.68887922.22906211.97952.5633711843.07.5196920.53591228.3538463.3794240.487179